Update README.md

README.md

@@ -110,13 +110,11 @@ Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for SQ
 
 ## Dataset Creation
 
-### Methodology
-
-From a the online edition of the Catalan newspaper [VilaWeb](https://www.vilaweb.cat), 2095 articles were randomnly selected. These headlines were also used to create a Textual Entailment dataset. For the extractive QA dataset, creation of between 1 and 5 questions for each news context was commissioned, following an adaptation of the guidelines from SQuAD 1.0 ([Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)). In total, 6282 pairs of a question and an extracted fragment that contains the answer were created.
-
 ### Curation Rationale
 
-For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines. We also created another QA dataset with wikipedia to ensure thematic and stylistic variety.
+We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
+
+For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines. We also created [another QA dataset with wikipedia](https://huggingface.co/datasets/projecte-aina/viquiquad) to ensure thematic and stylistic variety.
 
 ### Source Data
 
@@ -126,6 +124,10 @@ For compatibility with similar datasets in other languages, we followed as close
 
 The source data are scraped articles from archives of Catalan newspaper website [Vilaweb](https://www.vilaweb.cat). 
 
+From a the online edition of the newspaper [VilaWeb](https://www.vilaweb.cat), 2095 articles were randomnly selected. These headlines were also used to create a Textual Entailment dataset. For the extractive QA dataset, creation of between 1 and 5 questions for each news context was commissioned, following an adaptation of the guidelines from SQuAD 1.0 ([Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)). In total, 6282 pairs of a question and an extracted fragment that contains the answer were created.
+
+For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines. 
+
 #### Who are the source language producers?
 
 Professional journalists from the Catalan newspaper [VilaWeb](https://www.vilaweb.cat).
@@ -148,7 +150,7 @@ No personal or sensitive information included.
 
 ### Social Impact of Dataset
 
-[N/A]
+We hope this dataset contributes to the development of language models in Catalan, a low-resource language.
 
 ### Discussion of Biases
 
@@ -164,7 +166,7 @@ No personal or sensitive information included.
 
 Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es) from [BSC-CNS](https://www.bsc.es/).
 
-This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the Projecte AINA.
+This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/).
 
 ### Licensing Information